Yule Duan
Orcid: 0000-0002-2505-8730
According to our database1,
Yule Duan
authored at least 26 papers
between 2017 and 2024.
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Bibliography
2024
Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification.
IEEE Trans. Circuits Syst. Video Technol., October, 2024
SDST: Self-Supervised Double-Structure Transformer for Hyperspectral Images Clustering.
IEEE Trans. Geosci. Remote. Sens., 2024
Hyperspectral Target Detection With Target Prior Augmentation and Background Suppression-Based Multidetector Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Knowl. Based Syst., 2024
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Dimensionality Reduction via Local Structure-Aware Collaborative Graph Embedding for Hyperspectral Remote Sensing Image.
Proceedings of the 7th International Conference on Image and Graphics Processing, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Rethinking Representation Learning-Based Hyperspectral Target Detection: A Hierarchical Representation Residual Feature-Based Method.
Remote. Sens., July, 2023
Infrared Small Target Detection via $L_{0}$ Sparse Gradient Regularized Tensor Spectral Support Low-Rank Decomposition.
IEEE Trans. Aerosp. Electron. Syst., June, 2023
Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
2022
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
Local Constraint-Based Sparse Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2021
Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image.
IEEE Trans. Cybern., 2021
Semisupervised Manifold Joint Hypergraphs for Dimensionality Reduction of Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett., 2021
2020
Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning.
IEEE Trans. Cybern., 2020
Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery.
Pattern Recognit., 2020
Neural Networks, 2020
Multi-manifold locality graph preserving analysis for hyperspectral image classification.
Neurocomputing, 2020
2019
Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding.
Remote. Sens., 2019
2018
Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification.
IEEE Access, 2018
2017
Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery.
Remote. Sens., 2017